Triple

T9907040
Position Surface form Disambiguated ID Type / Status
Subject Lake Annone E185036 entity
Predicate nearbySettlement P350 FINISHED
Object Galbiate
Galbiate is a small Italian town in the Lombardy region, known for its scenic setting near Lake Annone and the foothills of the Alps.
 E843028 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Galbiate | Statement: [Lake Annone, nearbySettlement, Galbiate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Galbiate
Context triple: [Lake Annone, nearbySettlement, Galbiate]
  • A. Legnano
    Legnano is a town in the Lombardy region of northern Italy, historically known for its medieval Battle of Legnano and its industrial development.
  • B. Cassano d’Adda
    Cassano d’Adda is a town in the Lombardy region of northern Italy, situated along the Adda River northeast of Milan.
  • C. Solbiate Olona
    Solbiate Olona is a municipality in the Lombardy region of northern Italy that hosts a major NATO rapid reaction corps headquarters.
  • D. Vigevano
    Vigevano is a historic town in the Lombardy region of northern Italy, known for its Renaissance architecture and elegant central square, the Piazza Ducale.
  • E. Saronno
    Saronno is an Italian town in Lombardy known for its traditional amaretto liqueur and almond-flavored confections.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Galbiate
Triple: [Lake Annone, nearbySettlement, Galbiate]
Generated description
Galbiate is a small Italian town in the Lombardy region, known for its scenic setting near Lake Annone and the foothills of the Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Galbiate
Target entity description: Galbiate is a small Italian town in the Lombardy region, known for its scenic setting near Lake Annone and the foothills of the Alps.
  • A. Legnano
    Legnano is a town in the Lombardy region of northern Italy, historically known for its medieval Battle of Legnano and its industrial development.
  • B. Cassano d’Adda
    Cassano d’Adda is a town in the Lombardy region of northern Italy, situated along the Adda River northeast of Milan.
  • C. Solbiate Olona
    Solbiate Olona is a municipality in the Lombardy region of northern Italy that hosts a major NATO rapid reaction corps headquarters.
  • D. Vigevano
    Vigevano is a historic town in the Lombardy region of northern Italy, known for its Renaissance architecture and elegant central square, the Piazza Ducale.
  • E. Saronno
    Saronno is an Italian town in Lombardy known for its traditional amaretto liqueur and almond-flavored confections.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb50ec61481908f42bd2aa55d9a6e completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cb6276ec8190ad8623129f804c91 completed April 5, 2026, 8:51 p.m.
NEDg Description generation batch_69d2cd242ed8819097895cb15cbb5d47 completed April 5, 2026, 8:59 p.m.
NED2 Entity disambiguation (via description) batch_69d2d1204f008190a9349c071c1e8d19 completed April 5, 2026, 9:16 p.m.
Created at: March 30, 2026, 8:41 p.m.